Edge AI and robotics are increasingly integrated in real-world systems that demand low-latency inference, efficient computation, and robust autonomy. However, deploying AI at the edge brings unique challenges, including limited computational resources, evolving regulatory constraints, and the need for trustworthy, safe, and explainable models. As Europe advances toward sovereign, human-centric AI systems, new approaches are required to ensure that intelligent agents operating at the edge remain reliable, sustainable, and aligned with ethical and legal frameworks such as the AI Act. This workshop brings together researchers from Edge AI, embedded learning, and robotics to explore the intersection of technical design and responsible deployment. It focuses on architectures and methods that enable privacy-preserving, bias-aware, and energy-efficient AI at the edge, while ensuring adaptability and safety in robotic applications. The event is jointly organized by four EU-funded Networks of Excellence (NoEs) - dAIEDGE, euROBIN, ELIAS, and ENFIELD - and aims to foster collaboration across these initiatives and the broader HiPEAC community.
For more information, visit the workshop website